Land Cover Classification Random Forest

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Machine LearningLand_Cover_Classification_Random_Forest
Overview

Land_Cover_Classification_Random_Forest

You can perform Land Cover Classification on Satellite Images using Random Forest and visualize the result using Earthpy package. Make sure to install the required packages and such as

pip install gdal pip install earthpy

These packages require C++ build dependencies so be sure to install Visual C++ 14.0 or higher. If you want to avoid all hussle of installing packages then just opt for Google Colab. Be sure to upload images and ground truth file from The Sundarbans Dataset (https://earthdata.nasa.gov/worldview/worldview-image-archive/the-sundarbans). For ease I am also uploading the data with this repository

Owner
Dr. Sander Ali Khowaja
Assistant Professor, Department of Telecommunication, Faculty of Engineering and Technology.
Dr. Sander Ali Khowaja
GitHub Repository
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